Treatment of leather plant effluent using NF followed by RO and permeate flux prediction using artificial neural network

Chemical Engineering Journal

Volumn 151, Issue 1-3, 2009, Pages 275-285

  Purkait, M K ^a   Kumar, V Dinesh ^a   Maity, Damodar ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY GUWAHATI   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Artificial neural networks; Back propagation algorithm; Leather effluent; Membrane filtration; Permeate flux

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK MODELS; ARTIFICIAL NEURAL NETWORKS; BATCH CELLS; COMBINED OPERATIONS; CROSS FLOWS; EXPERIMENTAL DATA; FEED-FORWARD NETWORK; GRAVITY SETTLING; HIDDEN LAYERS; LEATHER PLANTS; MEMBRANE FILTRATION; MEMBRANE SEPARATION; MOLECULAR WEIGHT CUTOFF; MULTI-LAYERED; NF MEMBRANES; PARAMETRIC STUDY; PERMEATE FLUX; PRE-TREATMENT; PRESSURE DRIVEN MEMBRANES; TRANSMEMBRANE PRESSURES; TREATED EFFLUENT;

BACKPROPAGATION; CELL MEMBRANES; COAGULATION; EFFLUENT TREATMENT; EFFLUENTS; EXPERIMENTS; LEATHER; MEMBRANES; NANOFILTRATION; NETWORK LAYERS; NEURAL NETWORKS; POROUS MATERIALS; TANNING;

MICROFILTRATION;

EID: 67349105559     PISSN: 13858947     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cej.2009.03.023     Document Type: Article

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